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Electronics
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The Role of Artificial Intelligence in Enhancing Human-Computer Interaction
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The Role of Artificial Intelligence in Enhancing Human-Computer Interaction

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 20 November 2026 | Viewed by 2544

Special Issue Editors

Dr. Papakostas Christos

E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12243 Athens, Greece
Interests: augmented reality; spatial intelligence; adaptive tutoring systems; human–computer interaction
Special Issues, Collections and Topics in MDPI journals
Dr. Anestis Koutsoudis

E-Mail Website
Guest Editor
Athena Research Center, 67100 Xanthi, Greece
Interests: computer graphics; 3D digitisation; digital humanities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue on “The Role of Artificial Intelligence in Enhancing Human–Computer Interaction”. This Special Issue examines how artificial intelligence advances human–computer interaction, focusing on usability, accessibility, transparency, ethics, and inclusion. Our objective is to curate rigorous, human-centered research that demonstrates measurable improvements in interaction quality, safety, and equity.

Scope and Focus:

This Special Issue invites the submission of contributions that present methods, systems, and evaluations showing how AI enhances interaction while addressing trust, privacy, fairness, and inclusivity.

Topics of interest include, but are not limited to, the following:

  1. Intelligent user interfaces; conversational and multimodal systems.
  2. User modeling, personalization, and coadaptive interfaces.
  3. Affective and context-aware computing for responsive UX.
  4. Generative AI for design, prototyping, and co-creation; AR/VR/MR interaction.
  5. Evaluation methods, datasets, benchmarks, and tools for reproducible HCI.

Objectives of this Special Issue:

This Special Issue aims to achieve several key objectives:

  • Bridge AI and HCI through applied, user-oriented studies.
  • Establish best practices for explainable, trustworthy interfaces.
  • Advance accessibility and inclusion via assistive and adaptive systems.
  • Explore ethical implications of AI in HCI, with emphasis on fairness and accountability.
  • Provide comparative evidence on UX outcomes, performance, and safety.
  • Encourage open resources (datasets, code, protocols) to support replication.

This Special Issue builds upon the existing body of knowledge by integrating advances in human-centered AI with empirically grounded HCI research and deployment practice.

We invite researchers, practitioners, and experts to contribute original research, case studies, and insights to make this Special Issue a practical reference for the community.

We look forward to receiving your valuable contributions and anticipate a collection that guides future design, policy, and responsible adoption. All submissions will undergo a rigorous peer-review process to ensure the high quality and impact of accepted papers.

Dr. Papakostas Christos
Dr. Anestis Koutsoudis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human-centered AI
  • intelligent user interfaces
  • multimodal and conversational interaction
  • user modeling and personalization
  • AR/VR and mixed reality interaction
  • privacy, safety and ethics in HCI
  • best practices

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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16 pages, 1038 KB  
Article
The Agency-First Framework: Operationalizing Human-Centric Interaction and Evaluation Heuristics for Generative AI
by Christos Troussas, Christos Papakostas, Akrivi Krouska and Cleo Sgouropoulou
Electronics 2026, 15(4), 877; https://doi.org/10.3390/electronics15040877 - 20 Feb 2026
Viewed by 1325
Abstract
Current generative AI systems primarily utilize a prompt–response interaction model that restricts user intervention during the creative process. This lack of granular control creates a significant disconnect between user intent and machine output, which we define as the “Agency Gap”. This paper introduces [...] Read more.
Current generative AI systems primarily utilize a prompt–response interaction model that restricts user intervention during the creative process. This lack of granular control creates a significant disconnect between user intent and machine output, which we define as the “Agency Gap”. This paper introduces the Agency-First Framework (AFF), which combines cognitive engineering and co-active design approaches to formally define human-AI collaboration. This is operationalized through the development of ten Generative AI Agency (GAIA) Heuristics, a systematic method for evaluating agency-centric interactions within stochastic generative settings. By translating the theoretical layers of the AFF into measurable criteria, the GAIA heuristics provide the necessary instrument for the empirical auditing of existing systems and the guidance of agency-centric redesigns. Unlike existing assistive AI guidelines that focus on output-level usability, the AFF establishes agency as a first-class design construct, enabling mid-process intervention and the steering of the model’s latent reasoning trajectory. Validation of the AFF was conducted through a two-tiered empirical evaluation: (1) an expert heuristic audit of state-of-the-art platforms, such as ChatGPT-o1 and Midjourney v6, which achieved high inter-rater reliability, and (2) a controlled redesign study. The latter demonstrated that agency-centric interfaces significantly enhance the Sense of Agency and Intent Alignment Accuracy compared to baseline prompt-response models, even when introducing a deliberate increase in task completion time—a phenomenon we describe as “productive friction” or an intentional interaction slowdown designed to prioritize cognitive engagement and user control over raw speed. Overall, the findings suggest that the restoration of meaningful user agency requires a shift from “seamless” system efficiency towards “productive friction”, where controllability and transparency within the generative process are prioritized. The major contribution of this work is the provision of a scalable, empirically validated framework and set of heuristics that equip designers to move beyond prompt-centric interaction, establishing a methodological foundation for agency-preserving generative AI systems. Full article
(This article belongs to the Special Issue The Role of Artificial Intelligence in Enhancing Human-Computer Interaction)
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